Towards visualizing eye movement data from interactive stimuli
Authors: 
T. Blascheck, T. ErtlAuthors Info & Claims
Pages 391 - 392
Abstract
Recording of eye movement data can help to understand where and at what participants look. However, analyzing eye movement data is a time consuming task. Using visualization techniques in the analysis process can help to uncover concealed relationships within the data and can therefore be seen as one means in the analysis of eye movement data. The most well known visualization techniques in eye tracking are heat maps or scanpaths. In recent years more visualization techniques have been developed, as for example scaled traces [Goldberg and Helfman 2010], eyePatterns [West et al. 2006], or eSeeTrack [Tsang et al. 2010].
References
[1]
Blascheck, T., and Ertl, T. 2013. Techniques for analyzing empirical visualization experiments through visual methods. In Proceedings of Workshop on Visual and Spatial Cognition, 44--51.
[2]
Blascheck, T., Raschke, M., and Ertl, T. 2013. Circular Heat Map Transition Diagram. In Proceedings of the 2013 Conference on Eye Tracking South Africa, ACM, ETSA '13, 58--61.
[3]
Blascheck, T., Raschke, M., and Ertl, T. 2013. eTaddy - Ein integratives Framework für die Erstellung, Durchführung und Analyse von Eyetracking-Daten. In Lecture Notes in Informatics (LNI) - Seminars, Köllen Druck+Verlag GmbH, Gesellschaft für Informatik, Ed., vol. S-12 of Lecture Notes in Informatics (LNI) - Seminars, 111--114.
[4]
Burch, M., Kull, A., and Weiskopf, D. 2013. AOI Rivers for Visualizing Dynamic Eye Gaze Frequencies. Computer Graphics Forum 32, 3pt3, 281--290.
[5]
Goldberg, J. H., and Helfman, J. I. 2010. Visual Scanpath Represenation. In Proceedings of the 2010 Symposium on Eye Tracking Research and Applications, ACM, ETRA '10, 203--210.
[6]
Kurzhals, K., and Weiskopf, D. 2013. Space-Time Visual Analytics of Eye-Tracking Data for Dynamic Stimuli. IEEE Transactions on Visualization and Computer Graphics 19, 12, to appear.
[7]
Raschke, M., Chen, X., and Ertl, T. 2012. Parallel scan-path visualization. In Proceedings of the 2012 Symposium on Eye Tracking Research and Applications, ACM, ETRA'12, 165--168.
[8]
Tsang, H. Y., Tory, M. K., and Swindells, C. 2010. eSeeTrack - Visualizing Sequential Fixation Patterns. Visualization and Computer Graphics, IEEE Transactions on 16, 6, 953--962.
[9]
West, J. M., Haake, A. R., Rozanski, E. P., and Karn, K. S. 2006. eyePatterns: software for identifying patterns and similarities across fixation sequences. In Proceedings of the 2006 Symposium on Eye Tracking Research Applications, ACM, ETRA '06, 149--154.
Index Terms
- Towards visualizing eye movement data from interactive stimuli
Recommendations
Mining and visualizing eye movement data
SA '17: SIGGRAPH Asia 2017 Symposium on VisualizationEye movement data has a spatio-temporal nature which makes the design of suitable visualization techniques a challenging task. Moreover, eye movement data is typically recorded by tracking the eyes of various study participants in order to achieve ...
EyeFIX: An Interactive Visual Analytics Interface for Eye Movement Analysis
VINCI '21: Proceedings of the 14th International Symposium on Visual Information Communication and InteractionEye movements are closely related to the cognitive processes and often act as a window to the brain and mind. To facilitate a window to the brain using eye movements, we propose EyeFIX, an interactive visual analytics interface. Our interface currently ...
User Eye Fatigue Detection via Eye Movement Behavior
CHI EA '15: Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing SystemsIn this study we propose and evaluate a novel approach that allows detection of physical eye fatigue. The proposed approach is based on the analysis of the recorded eye movements via what is called behavioral scores. These easy-to-compute scores can be ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
March 2014
394 pages
Copyright © 2014 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 26 March 2014
Check for updates
Qualifiers
- Research-article
Conference
Acceptance Rates
Overall Acceptance Rate 69 of 137 submissions, 50%
Upcoming Conference
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 169Total Downloads
- Downloads (Last 12 months)5
- Downloads (Last 6 weeks)0
Reflects downloads up to 29 Sep 2024
Other Metrics
Citations
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in